Smart home display module driving method based on Internet of Things

Abstract

The invention discloses a smart home display module driving method based on the Internet of Things, and belongs to the technical field of smart home, and the method comprises the steps: collecting the real-time data of a smart home environment in real time based on an Internet of Things device, transmitting the real-time data of the smart home environment to a gateway device through a ZigBee interface, and transmitting the real-time data of the smart home environment to the gateway device; the gateway device transmits the real-time data of the smart home environment to the cloud platform through an MQTT protocol; and the cloud platform issues an instruction to the display module after receiving the real-time data of the smart home environment and drives the display module to execute a corresponding display operation so as to display the real-time data of the smart home environment, control the smart home environment according to the real-time display condition and realize adaptive adjustment of the smart home environment. According to the invention, the problem that the requirements of smart home for high efficiency, convenience and energy saving cannot be met in the prior art is solved. According to the invention, real-time transmission and display of data are effectively realized, the smart home environment can be effectively and adaptively adjusted, and the requirements of smart home for high efficiency, convenience and energy conservation can be effectively met.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart home, in particular to a smart home display module driving method based on Internet of Things. BACKGROUND

[0002] Smart home is a platform based on residence, which uses comprehensive wiring technology, network communication technology, security and protection technology, automatic control technology and audio and video technology to integrate devices related to home life, and constructs a centralized management and intelligent control residential facility management system, so as to improve the safety, convenience, comfort and artistry of home, and realize the environmentally friendly and energy-saving living environment. The display module is an important component of the smart home device, which is responsible for presenting data to the user in the form of images or text.

[0003] The existing technology cannot effectively realize real-time transmission and display of data, and cannot effectively adaptively adjust the smart home environment, resulting in poor use effect of the smart home, and cannot effectively meet the needs of the smart home for high efficiency, convenience and energy saving. SUMMARY

[0004] The present application provides a smart home display module driving method based on Internet of Things, which effectively realizes real-time transmission and display of data, can effectively adaptively adjust the smart home environment, can improve the use effect of the smart home, and can effectively meet the needs of the smart home for high efficiency, convenience and energy saving, and solves the problems raised in the background technology.

[0005] To achieve the above purpose, the present application provides the following technical scheme:

[0006] A smart home display module driving method based on Internet of Things, comprising:

[0007] The Internet of Things device collects real-time data of the smart home environment in real time, and transmits the real-time data of the smart home environment to the gateway device through the ZigBee interface. The gateway device transmits the real-time data of the smart home environment to the cloud platform through the MQTT protocol.

[0008] After the cloud platform receives the real-time data of the smart home environment, it issues instructions to the display module and drives the display module to perform corresponding display operations, which are used to display the real-time data of the smart home environment, control the smart home environment according to the real-time display situation, and realize adaptive adjustment of the smart home environment.

[0009] Preferably, after the cloud platform receives the real-time data of the smart home environment, it issues instructions to the display module and drives the display module to perform corresponding display operations, which perform the following operations:

[0010] The display module monitors the instruction issued by the cloud platform in real time, and adjusts the running state of the display module according to the real-time monitoring feedback;

[0011] When the display module does not monitor the instruction issued by the cloud platform, the display module enters a hibernation state when in standby, for reducing the energy consumption of the display module;

[0012] When the display module monitors the instruction issued by the cloud platform, the display module enters a recovery state when in driving, for displaying real-time data of the smart home environment for the user to view.

[0013] Preferably, the display module monitors the instruction issued by the cloud platform in real time, specifically including:

[0014] acquiring the timestamp and interval period of the historical instruction issued by the cloud platform in a historical time period from the display module;

[0015] determining the urgency of the historical instruction based on the timestamp, determining a time-instruction relationship curve based on the time period, and dividing the 24-hour period into a high-frequency period, a medium-frequency period and a low-frequency period based on the time-instruction relationship curve;

[0016] matching the corresponding instruction monitoring frequency for the high-frequency period, the medium-frequency period and the low-frequency period, determining the instruction urgency sequence in the high-frequency period, the medium-frequency period and the low-frequency period based on the urgency of the historical instruction, and performing weighted processing on the instruction monitoring frequency based on the urgency sequence to obtain the instruction monitoring frequency sequence in a period;

[0017] using a sliding window with three consecutive sampling points for verification, and determining that there is an instruction issued when at least two sampling points in the window detect a valid instruction frame as an instruction judgment rule;

[0018] monitoring the current period for instructions based on the instruction monitoring frequency sequence and the instruction judgment rule to obtain the instruction false positive rate of the current period, and determining the interference intensity based on the environmental information of the current period;

[0019] determining a first frequency increase adjustment amplitude based on the instruction false positive rate, determining a second frequency increase adjustment amplitude based on the interference intensity, and selecting the larger one of the first frequency increase adjustment amplitude and the second frequency increase adjustment amplitude as a target adjustment amplitude;

[0020] obtaining the initial monitoring frequency of the next period from the instruction monitoring frequency sequence, optimizing the initial monitoring frequency in real time based on the target adjustment amplitude to obtain a target monitoring frequency, and monitoring the next period for instructions according to the target monitoring frequency.

[0021] Preferably, when the display module detects the instruction issued by the cloud platform, the data receiving module of the display module receives the instruction issued by the cloud platform through the ZigBee interface, and the received instruction is parsed by the processing module to extract key parameters, including display content and refresh frequency. The parsed instruction is converted into a signal executable by the display module through the driving module, and the LED screen of the display module is controlled by the driving module according to the parsing result to display the instruction content issued by the cloud platform in real time, and the user can view the real-time data of the smart home environment, and the display module feeds back the execution result to the cloud platform through the MQTT protocol to form a closed-loop control.

[0022] Preferably, based on the real-time collection of the real-time data of the smart home environment by the Internet of Things device, the following operations are performed:

[0023] Deploy the Internet of Things device in the key area of the smart home, wherein the Internet of Things device includes a temperature sensor, a humidity sensor, and a light sensor.

[0024] Based on the temperature sensor deployed, the temperature conditions in the smart home are monitored and collected in real time to obtain smart home temperature data.

[0025] Based on the humidity sensor deployed, the humidity conditions in the smart home are monitored and collected in real time to obtain smart home humidity data.

[0026] Based on the light sensor deployed, the light conditions in the smart home are monitored and collected in real time to obtain smart home light data.

[0027] Among them, according to the smart home temperature data, the smart home humidity data and the smart home light data, the real-time data of the smart home environment is formed.

[0028] Preferably, the real-time data of the smart home environment is transmitted to the gateway device through the ZigBee interface, and the gateway device transmits the real-time data of the smart home environment to the cloud platform through the MQTT protocol to perform the following operations:

[0029] Establish a data transmission connection between the Internet of Things device, the gateway device and the cloud platform to realize wireless transmission of the real-time data of the smart home environment.

[0030] Among them, the networking device sends a data transmission connection request to the gateway device, and after receiving the data transmission connection request sent by the Internet of Things device, the gateway device identifies and verifies the data transmission port of the Internet of Things device. After verification, the gateway device establishes a data transmission connection with the Internet of Things device, and the Internet of Things device transmits the real-time data of the smart home environment to the gateway device through the ZigBee interface.

[0031] The gateway device sends a data transmission connection request to the cloud platform, the cloud platform receives the data transmission connection request sent by the gateway device, the cloud platform identifies and verifies the data transmission port of the gateway device, the cloud platform establishes a data transmission connection with the gateway device after verification, the gateway device transmits the real-time smart home environment data to the cloud platform, and the cloud platform sends an instruction to the display module and drives the display module to perform a corresponding display operation after receiving the real-time smart home environment data.

[0032] Preferably, the cloud platform identifies and verifies the data transmission port of the gateway device, and performs the following operations:

[0033] The data transmission port of the gateway device is obtained, and the data transmission port of the gateway device is compared and analyzed with the pre-set data transmission port of the cloud platform.

[0034] The data transmission port of the gateway device is obtained, and the data transmission port of the gateway device is compared and analyzed with the pre-set data transmission port of the cloud platform.

[0035] When the data transmission port of the gateway device is within the range of the data transmission port of the cloud platform, the data transmission port of the gateway device is safely identified and verified, that is, the gateway device has the qualification of data transmission with the cloud platform.

[0036] When the data transmission port of the gateway device is not within the range of the data transmission port of the cloud platform, the data transmission port of the gateway device is not safely identified and verified, that is, the gateway device does not have the qualification of data transmission with the cloud platform.

[0037] Preferably, after displaying the real-time smart home environment data, the user formulates corresponding control instructions according to the real-time displayed smart home environment data, which are used to control the environment of the smart home and realize self-adaptive adjustment of the smart home environment.

[0038] Preferably, the environment of the smart home is controlled, and the following operations are performed:

[0039] The real-time smart home environment data is compared and analyzed with the pre-set smart home environment standard data, and the environment of the smart home is intelligently controlled according to the smart home environment analysis result.

[0040] When the real-time temperature of the smart home is higher than the set standard temperature, the real-time temperature of the smart home is intelligently reduced and the temperature is automatically adjusted to the standard temperature.

[0041] When the real-time temperature of the smart home is lower than the set standard temperature, the real-time temperature of the smart home is increased and the temperature is automatically adjusted to the standard temperature;

[0042] When the real-time humidity of the smart home is higher than the set standard humidity, the real-time humidity of the smart home is decreased and the humidity is automatically adjusted to the standard humidity;

[0043] When the real-time humidity of the smart home is lower than the set standard humidity, the real-time humidity of the smart home is increased and the humidity is automatically adjusted to the standard humidity;

[0044] When the real-time illumination of the smart home is higher than the set standard illumination, the real-time illumination of the smart home is decreased and the illumination is automatically adjusted to the standard illumination;

[0045] When the real-time illumination of the smart home is lower than the set standard illumination, the real-time illumination of the smart home is increased and the illumination is automatically adjusted to the standard illumination.

[0046] Preferably, the LED screen of the display module is controlled according to the analysis result through a driving module,

[0047] The instruction content issued by the cloud platform is displayed in real time, including:

[0048] The LED screen of the display module is controlled according to the analysis result through a driving module to display the instruction content issued at an initial resolution;

[0049] The LED screen is divided into a plurality of sub-regions with the same area, the probability of the sub-regions as the gaze region, the high-frequency operation region and the update region is determined based on historical data, and the content importance degree is determined based on the display content of the sub-regions;

[0050] Based on the probability of the sub-regions as the gaze region, the high-frequency operation region and the update region, and the content importance degree, a comprehensive importance index of the sub-regions is calculated;

[0051] Based on the content importance degree of the sub-regions, the initial display parameters of the sub-regions are determined;

[0052] The initial display parameters of the adjacent sub-regions of the sub-regions are obtained, and the target display parameters of the sub-regions are calculated based on the difference between the initial display parameters of the sub-regions and the initial display parameters of the adjacent sub-regions;

[0053] The instruction content issued by the cloud platform is displayed in real time according to the target display parameters of the sub-regions.

[0054] Compared with the prior art, the present application has the following advantages:

[0055] The application collects real-time data of a smart home environment in real time through an Internet of Things device, and transmits the real-time data of the smart home environment to a gateway device through a ZigBee interface, and the gateway device transmits the real-time data of the smart home environment to a cloud platform through an MQTT protocol. After the cloud platform receives the real-time data of the smart home environment, an instruction is issued to a display module and the display module is driven to perform a corresponding display operation for displaying the real-time data of the smart home environment, and the smart home environment is controlled according to the real-time display condition, so that the smart home environment is self-adaptively adjusted, the real-time transmission and display of data are effectively realized, the smart home environment is effectively self-adaptively adjusted, the use effect of the smart home is improved, and the efficient, convenient and energy-saving requirements of the smart home are effectively met. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 A flowchart of the smart home display module driving method based on the Internet of Things. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0058] To solve the problems that the existing technology cannot effectively realize real-time transmission and display of data, cannot effectively self-adaptively adjust the smart home environment, leads to poor use effect of the smart home, and cannot effectively meet the efficient, convenient and energy-saving requirements of the smart home, please refer to Figure 1 The technical solutions of the embodiments are as follows:

[0059] A smart home display module driving method based on the Internet of Things, comprising:

[0060] Real-time data of a smart home environment is collected in real time based on an Internet of Things device, and the real-time data of the smart home environment is transmitted to a gateway device through a ZigBee interface, and the gateway device transmits the real-time data of the smart home environment to a cloud platform through an MQTT protocol.

[0061] In the embodiment, real-time data of a smart home environment is collected in real time based on an Internet of Things device, and the following operations are performed:

[0062] The Internet of Things device is deployed in a key area of the smart home, wherein the Internet of Things device comprises a temperature sensor, a humidity sensor and a light sensor.

[0063] The temperature sensor deployed in the smart home monitors and collects the temperature data of the smart home in real time.

[0064] The humidity sensor deployed in the smart home monitors and collects the humidity data of the smart home in real time.

[0065] The light sensor deployed in the smart home monitors and collects the light data of the smart home in real time.

[0066] The temperature data, humidity data and light data of the smart home are used to form the real-time data of the smart home environment.

[0067] It should be noted that the real-time temperature, humidity and light data of the smart home are collected by the IoT device deployed in the key area of the smart home, which provides a data basis for the subsequent adaptive adjustment of the smart home environment.

[0068] In one embodiment, the display module monitors the instructions issued by the cloud platform in real time, specifically including:

[0069] The time stamp and interval period of the historical issued instructions of the cloud platform in the historical time period are obtained from the display module;

[0070] Based on the time stamp, the urgency of the historical issued instructions is determined, based on the time period, the time-instruction relationship curve is determined, based on the time-instruction relationship curve, 24 hours is divided into a high-frequency period, a medium-frequency period and a low-frequency period;

[0071] The corresponding instruction monitoring frequency is matched for the high-frequency period, the medium-frequency period and the low-frequency period, based on the urgency of the historical issued instructions, the instruction urgency sequence in the high-frequency period, the medium-frequency period and the low-frequency period is determined, based on the urgency sequence, the instruction monitoring frequency is weighted to obtain the instruction monitoring frequency sequence in a period;

[0072] The sliding window with 3 consecutive sampling points is used for verification, when at least 2 sampling points in the window detect valid instruction frames, it is determined that there is an issued instruction as the instruction judgment rule;

[0073] The instruction monitoring frequency sequence and the instruction judgment rule are used to monitor the instructions in the current period to obtain the instruction false positive rate of the current period, and the interference intensity is determined based on the environment information of the current period;

[0074] The first frequency rising adjustment range is determined based on the instruction misjudgment rate, the second frequency rising adjustment range is determined based on the interference intensity, and the larger one of the first frequency rising adjustment range and the second frequency rising adjustment range is selected as the target adjustment range;

[0075] The initial monitoring frequency of the next period is obtained from the instruction monitoring frequency sequence, the initial monitoring frequency is optimized in real time based on the target adjustment range to obtain a target monitoring frequency, and the next period is monitored according to the target monitoring frequency.

[0076] In this embodiment, for example, the instruction monitoring frequency is the highest in the high-frequency period, the medium-frequency period second, and the low-frequency period the lowest.

[0077] In this embodiment, for example, the emergency degree sequence of the historical issued instructions in the high-frequency period is 0.2, 0.5, 0.9, 0.6, and 0.4, the weight sequence of the high-frequency period is determined as 0.7, 1, 1.5, 1.1, and 0.9, and the weighted processing of the fixed instruction monitoring frequency 100 ms / time of the high-frequency period is 142 ms / time, 100 ms / time, 67 ms / time, 91 ms / time, and 111 ms / time in sequence.

[0078] In this embodiment, the higher the instruction misjudgment rate, the larger the corresponding first frequency rising adjustment range; and the higher the interference intensity, the larger the corresponding second frequency rising adjustment range.

[0079] The beneficial effects of the above design scheme are: first, based on the timestamp, the urgency of the historical issued instruction is determined, based on the time period, the time-instruction relationship curve is determined, based on the time-instruction relationship curve, 24 hours is divided into a high-frequency period, a medium-frequency period and a low-frequency period, and the corresponding instruction monitoring frequency is matched for the high-frequency period, the medium-frequency period and the low-frequency period, the preliminary division of the period and the frequency is realized, based on the urgency of the historical issued instruction, the instruction urgency sequence in the high-frequency period, the medium-frequency period and the low-frequency period is determined, the instruction monitoring frequency is weighted based on the urgency sequence, and the instruction monitoring frequency sequence in a period is obtained, the intelligent resource allocation of the display module is realized, the monitoring accuracy is ensured, and the system energy consumption is reduced, the instruction monitoring frequency sequence and the instruction judgment rule are used for instruction monitoring on the current period, the instruction misjudgment rate of the current period is obtained, and the interference strength is determined based on the environment information of the current period; based on the instruction misjudgment rate, the first frequency rise adjustment amplitude is determined, based on the interference strength, the second frequency rise adjustment amplitude is determined, the larger one of the first frequency rise adjustment amplitude and the second frequency rise adjustment amplitude is selected as the target adjustment amplitude, the real-time monitoring effect is analyzed from the misjudgment rate and the interference strength, accurate information is provided for subsequent frequency adjustment, the initial monitoring frequency of the next period is obtained from the instruction monitoring frequency sequence, the initial monitoring frequency is optimized in real time based on the target adjustment amplitude, the target monitoring frequency is obtained, and the next period is monitored according to the target monitoring frequency, the real-time adjustment of the frequency of the next period based on the monitoring effect of the previous period is realized, the accurate and efficient monitoring of the display module on the issued instruction of the cloud platform is realized, and the basis for accurate display of the running state of the display module is provided.

[0080] In the embodiment, the smart home environment real-time data is transmitted to the gateway device through the ZigBee interface, and the gateway device transmits the smart home environment real-time data to the cloud platform through the MQTT protocol, and the following operations are performed:

[0081] The data transmission connection between the Internet of Things device, the gateway device and the cloud platform is established, and wireless transmission of the smart home environment real-time data is realized.

[0082] Among them, the networking device sends a data transmission connection request to the gateway device, after the gateway device receives the data transmission connection request sent by the Internet of Things device, the gateway device identifies and verifies the data transmission port of the Internet of Things device, after verification, the gateway device establishes a data transmission connection with the Internet of Things device, and the Internet of Things device transmits the smart home environment real-time data to the gateway device through the ZigBee interface;

[0083] The gateway device sends a data transmission connection request to the cloud platform. After receiving the data transmission connection request sent by the gateway device, the cloud platform identifies and verifies the data transmission port of the gateway device. After verification, the cloud platform establishes a data transmission connection with the gateway device. The gateway device transmits the real-time smart home environment data to the cloud platform. After receiving the real-time smart home environment data, the cloud platform issues an instruction to the display module and drives the display module to perform a corresponding display operation.

[0084] In this embodiment, the cloud platform identifies and verifies the data transmission port of the gateway device, and performs the following operations:

[0085] The data transmission port of the gateway device is obtained, and the data transmission port of the gateway device is compared and analyzed with the pre-set data transmission port of the cloud platform.

[0086] The data transmission port of the gateway device is obtained, and the data transmission port of the gateway device is compared and analyzed with the pre-set data transmission port of the cloud platform.

[0087] When the data transmission port of the gateway device is within the range of the data transmission port of the cloud platform, the data transmission port of the gateway device is safely identified and verified, that is, the gateway device has the qualification of data transmission with the cloud platform.

[0088] When the data transmission port of the gateway device is not within the range of the data transmission port of the cloud platform, the data transmission port of the gateway device is not safely identified and verified, that is, the gateway device does not have the qualification of data transmission with the cloud platform.

[0089] After receiving the real-time smart home environment data, the cloud platform issues an instruction to the display module and drives the display module to perform a corresponding display operation, which is used to display the real-time smart home environment data, control the smart home environment according to the real-time display condition, and realize self-adaptive adjustment of the smart home environment.

[0090] In this embodiment, after receiving the real-time smart home environment data, the cloud platform issues an instruction to the display module and drives the display module to perform a corresponding display operation, and performs the following operations:

[0091] The display module monitors the instruction issued by the cloud platform in real time, and adjusts the running state of the display module according to the real-time monitoring condition.

[0092] When the display module does not monitor the instruction issued by the cloud platform, the display module enters a sleep state when it is in standby, which is used to reduce the energy consumption of the display module.

[0093] When the display module monitors the instruction issued by the cloud platform, the display module enters a revival state during driving, for displaying real-time data of the smart home environment for the user to view.

[0094] In the embodiment, when the display module monitors the instruction issued by the cloud platform, the data receiving module of the display module receives the instruction issued by the cloud platform through the ZigBee interface, and the received instruction is parsed by the processing module to extract key parameters, including display content and refresh frequency. The parsed instruction is converted into a signal executable by the display module through the driving module, and the LED screen of the display module is controlled by the driving module according to the parsing result, to display the instruction content issued by the cloud platform in real time, display real-time data of the smart home environment for the user to view, and the execution result is fed back to the cloud platform through the MQTT protocol, forming a closed-loop control.

[0095] In the embodiment, after displaying the real-time data of the smart home environment, the user formulates corresponding control instructions according to the real-time display of the real-time data of the smart home environment, for controlling the environment of the smart home, to realize adaptive adjustment of the smart home environment.

[0096] In the embodiment, the environment of the smart home is controlled by performing the following operations:

[0097] The real-time data of the smart home environment is compared and analyzed with the pre-set standard data of the smart home environment, and the environment of the smart home is intelligently controlled according to the analysis result of the smart home environment;

[0098] When the real-time temperature of the smart home is higher than the set standard temperature, the real-time temperature of the smart home is intelligently reduced and automatically adjusted to the standard temperature.

[0099] When the real-time temperature of the smart home is lower than the set standard temperature, the real-time temperature of the smart home is intelligently increased and automatically adjusted to the standard temperature.

[0100] Specifically, the user formulates corresponding control instructions according to the real-time display of the real-time data of the smart home environment, for controlling the environment of the smart home, to realize adaptive adjustment of the smart home environment, wherein the adaptive adjustment of the temperature of the smart home environment is as shown in Table 1:

[0101] Table 1: Adaptive adjustment of the temperature of the smart home environment

[0102]

[0103] Therefore, the temperature of the smart home environment can be effectively and adaptively adjusted, and the use effect of the smart home can be improved.

[0104] When the real-time humidity of the smart home is higher than the set standard humidity, the smart home reduces the real-time humidity and automatically adjusts the humidity to the standard humidity.

[0105] When the real-time humidity of the smart home is lower than the set standard humidity, the smart home increases the real-time humidity and automatically adjusts the humidity to the standard humidity.

[0106] Specifically, the user formulates corresponding control instructions according to the real-time display of the smart home environment real-time data, for controlling the environment of the smart home, realizing the self-adaptive adjustment of the smart home environment, wherein the self-adaptive adjustment of the smart home environment humidity is as shown in Table 2:

[0107] Table 2: Self-adaptive adjustment of smart home environment humidity

[0108]

[0109] Therefore, the smart home environment humidity can be effectively self-adaptively adjusted, and the use effect of the smart home can be improved.

[0110] When the real-time illumination of the smart home is higher than the set standard illumination, the smart home reduces the real-time illumination and automatically adjusts the illumination to the standard illumination.

[0111] When the real-time illumination of the smart home is lower than the set standard illumination, the smart home increases the real-time illumination and automatically adjusts the illumination to the standard illumination.

[0112] Specifically, the user formulates corresponding control instructions according to the real-time display of the smart home environment real-time data, for controlling the environment of the smart home, realizing the self-adaptive adjustment of the smart home environment, wherein the self-adaptive adjustment of the smart home environment illumination is as shown in Table 3:

[0113] Table 3: Self-adaptive adjustment of smart home environment illumination

[0114]

[0115] Therefore, the smart home environment illumination can be effectively self-adaptively adjusted, and the use effect of the smart home can be improved.

[0116] In one embodiment, according to the analysis result, the LED screen of the display module is controlled by the driving module to display the instruction content issued by the cloud platform in real time, including:

[0117] According to the analysis result, the LED screen of the display module is controlled by the driving module to display the instruction content issued at the initial resolution;

[0118] The LED screen is divided into a plurality of sub-regions with same area, probabilities of the sub-regions as gaze regions, high-frequency operation regions and update regions are determined based on historical data, and content importance degrees of the sub-regions are determined based on display contents of the sub-regions;

[0119] Based on the probabilities of the sub-regions as the gaze regions, the high-frequency operation regions and the update regions and the content importance degrees, a comprehensive importance index of the sub-regions is calculated.

[0120]

[0121] wherein K represents the comprehensive importance index of the sub-region, δ1 represents a participation weight of the gaze region, δ2 represents a participation weight of the high-frequency operation region, δ3 represents a participation weight of the update region, A1 represents the probability of the sub-region as the gaze region, A2 represents the probability of the sub-region as the high-frequency operation region, A3 represents the probability of the sub-region as the update region, and γ represents the content importance degree of the sub-region;

[0122] Based on the content importance degree of the sub-region, an initial display parameter of the sub-region is determined.

[0123] An initial display parameter of a neighboring sub-region of the sub-region is obtained, and a target display parameter of the sub-region is calculated based on a difference between the initial display parameter of the sub-region and the initial display parameter of the neighboring sub-region.

[0124]

[0125] wherein D represents the target display parameter of the sub-region, ε0 represents the initial display parameter of the sub-region, n represents the number of the neighboring sub-regions, εi represents the initial display parameter of the i-th neighboring sub-region, H represents a normalization coefficient, and C represents a parameter with different values corresponding to different types of display parameters. i

[0126] According to the target display parameter of the sub-region, an instruction content issued by the cloud platform is displayed in real time.

[0127] In this embodiment, the gaze region is a gaze region of the user to the Hina module obtained according to a pupil positioning algorithm.

[0128] In this embodiment, the high-frequency operation region is obtained according to historical experience.

[0129] In this embodiment, the update region is obtained according to actual display results.

[0130] ​In this embodiment, the initial display parameters of the adjacent sub-regions of the sub-region are acquired, and the target display parameters of the sub-region are calculated based on the difference between the initial display parameters of the sub-region and the initial display parameters of the adjacent sub-regions, so as to eliminate the problem that the display parameters of adjacent sub-regions are greatly different and the display effect is uneven.

[0131] In this embodiment, the display parameters include color, resolution, definition, etc.

[0132] The beneficial effects of the above design scheme are: the gaze probability, the high-frequency operation probability, and the update region probability of the sub-region are identified through the historical data, and the comprehensive importance index is calculated through a weighting formula in combination with the content importance, so as to realize the accurate quantification of different regions and provide a basis for display parameter setting. When the target display parameters are determined, not only the content importance of the sub-region itself, that is, the initial display parameters, but also the initial display parameters of the adjacent sub-regions are introduced for collaborative calculation, so as to eliminate the problem that the display parameters of adjacent sub-regions are greatly different and the display effect is uneven, make the overall display effect more harmonious, reduce user visual fatigue, and finally realize the accurate matching of the display effect, user demand, and content characteristics, while taking into account the overall visual harmony and resource efficiency, and have strong practicality and scene adaptability.

[0133] In summary, the Internet of Things device collects the real-time data of the smart home environment in real time, and the Internet of Things device transmits the real-time data of the smart home environment to the gateway device through the ZigBee interface, the gateway device transmits the real-time data of the smart home environment to the cloud platform through the MQTT protocol, the cloud platform receives the real-time data of the smart home environment and issues instructions to the display module and drives the display module to perform corresponding display operations, for displaying the real-time data of the smart home environment, controlling the smart home environment according to the real-time display situation, realizing self-adaptive adjustment of the smart home environment, effectively realizing real-time transmission and display of data, effectively self-adapting the smart home environment, improving the use effect of the smart home, and effectively meeting the needs of the smart home for efficiency, convenience, and energy saving.

[0134] It should be noted that, in this document, the terms such as first and second are merely used to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0135] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A method for driving a smart home display module based on the Internet of Things, characterized in that: include: Based on the real-time collection of smart home environment data by IoT devices, the real-time data of the smart home environment is transmitted to the gateway device through the ZigBee interface. The gateway device transmits the real-time data of the smart home environment to the cloud platform through the MQTT protocol; After receiving the real-time data of the smart home environment, the cloud platform sends instructions to the display module and drives the display module to perform corresponding display operations, which is used to display the real-time data of the smart home environment, control the smart home environment according to the real-time display situation, and realize the adaptive adjustment of the smart home environment; Among them, the instructions received by the display module are parsed by the processing module. According to the parsing results, the LED screen of the display module is controlled by the driving module, and the LED screen is divided into several sub-areas of the same area. Based on the difference between the initial display parameters of the sub-area and the initial display parameters of the adjacent sub-area, the target display parameters of the sub-area are calculated, and the instruction content issued by the cloud platform is displayed in real time according to the target display parameters of the sub-area.

2. A method for driving a smart home display module based on the Internet of Things according to claim 1, characterized in that: After receiving real-time data from the smart home environment, the cloud platform sends instructions to the display module and drives the display module to perform corresponding display operations. The following operations are performed: The display module monitors the instructions issued by the cloud platform in real time and adjusts the operating status of the display module based on the real-time monitoring feedback; When the display module does not detect the command issued by the cloud platform, the display module enters the dormant state in standby mode to reduce the energy consumption of the display module; When the display module detects the instructions issued by the cloud platform, the display module enters the recovery state when driven, and is used to display real-time data of the smart home environment for users to view.

3. A method for driving a smart home display module based on the Internet of Things according to claim 2, characterized in that: The display module monitors the instructions issued by the cloud platform in real time, including: Obtain the timestamps and intervals of historical instructions issued by the cloud platform within a historical time period from the display module; Determine the urgency of historically issued instructions based on the timestamp, determine a time-instruction relationship curve based on the time period, and divide the time-instruction relationship curve into high-frequency period, medium-frequency period, and low-frequency period with a 24-hour period as a cycle; Matching corresponding instruction monitoring frequencies for high-frequency, medium-frequency, and low-frequency periods respectively; determining instruction urgency sequences for high-frequency, medium-frequency, and low-frequency periods based on the urgency of historically issued instructions; and weighting instruction monitoring frequencies based on the urgency sequence to obtain an instruction monitoring frequency sequence within a cycle; The sliding window verification using 3 consecutive sampling points is used. When at least 2 sampling points in the window detect a valid instruction frame, it is determined that there is an instruction to be issued as the instruction judgment rule; Performing instruction monitoring for the current period using the instruction monitoring frequency sequence and instruction judgment rule to obtain an instruction misjudgment rate for the current period, and determining interference intensity based on environmental information for the current period; Determine a first frequency increase adjustment range based on the command misjudgment rate, determine a second frequency increase adjustment range based on the interference intensity, and select the larger of the first frequency increase adjustment range and the second frequency increase adjustment range as the target adjustment range; An initial monitoring frequency for the next period is obtained from the instruction monitoring frequency sequence, the initial monitoring frequency is optimized in real time based on the target adjustment amplitude to obtain a target monitoring frequency, and instruction monitoring is performed for the next period according to the target monitoring frequency.

4. The method for driving a smart home display module based on the Internet of Things according to claim 2, wherein: When the display module detects the instructions issued by the cloud platform, the data receiving module of the display module receives the instructions issued from the cloud platform through the ZigBee interface, and the received instructions are parsed by the processing module to extract key parameters, including display content and refresh frequency. The parsed instructions are converted into executable signals for the display module through the driver module. According to the parsing results, the LED screen of the display module is controlled by the driver module to display the instruction content issued by the cloud platform in real time, and display real-time data of the smart home environment for users to view. The display module will feedback the execution results to the cloud platform through the MQTT protocol to form a closed-loop control.

5. The method for driving a smart home display module based on the Internet of Things according to claim 4, wherein: Based on the real-time collection of smart home environment data by IoT devices, the following operations are performed: Deploy IoT devices in key areas of smart homes, including temperature sensors, humidity sensors, and light sensors; Based on the deployed temperature sensors, the smart home's temperature conditions are monitored and collected in real time to obtain smart home temperature data; Based on the deployed humidity sensors, the humidity conditions in the smart home are monitored and collected in real time to obtain the humidity data of the smart home. Based on the deployed light sensors, the lighting conditions in the smart home are monitored and collected in real time to obtain the lighting data of the smart home; Among them, real-time data of the smart home environment is formed based on the smart home temperature data, smart home humidity data and smart home lighting data.

6. The method for driving a smart home display module based on the Internet of Things according to claim 5, wherein: The real-time data of the smart home environment is transmitted to the gateway device through the ZigBee interface. The gateway device transmits the real-time data of the smart home environment to the cloud platform through the MQTT protocol. The following operations are performed: Establish data transmission connections between IoT devices, gateway devices and cloud platforms to achieve wireless transmission of real-time data in smart home environments; Among them, the networked device sends a data transmission connection request to the gateway device. After the gateway device receives the data transmission connection request sent by the IoT device, the gateway device identifies and verifies the data transmission port of the IoT device. After the verification is passed, the gateway device and the IoT device establish a data transmission connection. The IoT device transmits real-time data of the smart home environment to the gateway device through the ZigBee interface; Among them, the gateway device sends a data transmission connection request to the cloud platform. After the cloud platform receives the data transmission connection request sent by the gateway device, the cloud platform identifies and verifies the data transmission port of the gateway device. After the verification is passed, the cloud platform establishes a data transmission connection with the gateway device. The gateway device transmits the real-time data of the smart home environment to the cloud platform. After receiving the real-time data of the smart home environment, the cloud platform sends instructions to the display module and drives the display module to perform corresponding display operations.

7. The method for driving a smart home display module based on the Internet of Things according to claim 6, wherein: The cloud platform identifies and verifies the data transmission port of the gateway device and performs the following operations: Obtain the data transmission port of the gateway device, and compare and analyze the data transmission port of the gateway device with the pre-set data transmission port of the cloud platform; Among them, multiple data transmission ports of the cloud platform are extracted one by one, and the extracted data transmission ports of the cloud platform are compared with the data transmission ports of the gateway device, and the port matching between the data transmission ports of the gateway device and the data transmission ports of the cloud platform is analyzed to determine whether the gateway device is qualified to transmit data with the cloud platform; When the data transmission port of the gateway device is within the data transmission port range of the cloud platform, the data transmission port security identification verification of the gateway device passes, that is, the gateway device is qualified to transmit data with the cloud platform; When the data transmission port of the gateway device is not within the data transmission port range of the cloud platform, the data transmission port security identification verification of the gateway device fails, that is, the gateway device is not qualified to transmit data with the cloud platform.

8. The method for driving a smart home display module based on the Internet of Things according to claim 7, wherein: After the real-time data of the smart home environment is displayed, the user formulates corresponding control instructions based on the real-time data of the smart home environment displayed in real time to control the smart home environment and realize adaptive adjustment of the smart home environment.

9. The method for driving a smart home display module based on the Internet of Things according to claim 8, wherein: To control your smart home environment, do the following: Compare and analyze the real-time data of the smart home environment with the pre-set standard data of the smart home environment, and intelligently control the smart home environment according to the analysis results of the smart home environment; Among them, when the real-time temperature of the smart home is higher than the set standard temperature, the real-time temperature of the smart home is intelligently lowered and the temperature is automatically adjusted to the standard temperature; Among them, when the real-time temperature of the smart home is lower than the set standard temperature, the real-time temperature of the smart home is intelligently increased and the temperature is automatically adjusted to the standard temperature; Among them, when the real-time humidity of the smart home is higher than the set standard humidity, the real-time humidity of the smart home is intelligently reduced and the humidity is automatically adjusted to the standard humidity; Among them, when the real-time humidity of the smart home is lower than the set standard humidity, the real-time humidity of the smart home is intelligently increased and the humidity is automatically adjusted to the standard humidity; Among them, when the real-time lighting of the smart home is higher than the set standard lighting, the real-time lighting of the smart home is intelligently reduced and the lighting is automatically adjusted to the standard lighting; Among them, when the real-time lighting of the smart home is lower than the set standard lighting, the real-time lighting of the smart home is intelligently increased and the lighting is automatically adjusted to the standard lighting.

10. The method for driving a smart home display module based on the Internet of Things according to claim 4, wherein: According to the analysis results, the LED screen of the display module is controlled by the driver module to display the command content issued by the cloud platform in real time, including: According to the analysis results, the driver module controls the LED screen of the display module to display the content of the issued command at the initial resolution; Dividing the LED screen into a plurality of sub-areas of equal area, determining the probability of the sub-areas being a gaze area, a high-frequency operation area, and an update area based on historical data, and determining the importance of the content based on the displayed content of the sub-areas; Based on the probability of the sub-region being a fixation region, a high-frequency operation region, and an update region, as well as the importance of the content, the comprehensive importance index of the sub-region is calculated; Determining initial display parameters of the sub-region based on the importance of the content of the sub-region; Obtaining initial display parameters of adjacent sub-regions of the sub-region, and calculating target display parameters of the sub-region based on a difference between the initial display parameters of the sub-region and the initial display parameters of the adjacent sub-region; The command content issued by the cloud platform is displayed in real time according to the target display parameters of the sub-area.

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